Gradio GPT-interactive web-based tool

Example

import gradio as gr def classify_image(image): return {'cat': 0.8, 'dog': 0.2} demo = gr.Interface(fn=classify_image, inputs='image', outputs='label') demo.launch()

Scenario

This function allows users to create web-based interfaces for their machine learning models or any Python functions. By specifying the function, inputs, and outputs, users can build interactive applications effortlessly.

Example

import gradio as gr def greet(name): return 'Hello ' + name demo = gr.Interface(fn=greet, inputs='text', outputs='text') demo.launch()

Scenario

Users can create live demos for their models or functions, allowing real-time interaction and testing. This is particularly useful for presentations, tutorials, and quick prototyping.

Example

import gradio as gr from transformers import pipeline pipe = pipeline('text-generation') demo = gr.Interface.from_pipeline(pipe) demo.launch()

Scenario

Gradio GPT supports integrating custom components and models, such as those from Hugging Face. This enables users to leverage powerful pre-trained models in their applications with minimal setup.